Required Skills and Experience General Requirements: Strong proficiency in Python with hands-on experience using NumPy, Pandas, Scikit-learn, and Matplotlib for data analysis, feature engineering, and model development. Deep understanding of Machine Learning algorithms, including regression, classification, recommendation systems, clustering, segmentation, and sequential decision-making for adaptive learning and student performance prediction. Proven experience with Deep Learning frameworks such as TensorFlow, PyTorch, or Keras for model design, training, and deployment. Extensive NLP experience — including text preprocessing, tokenization, embeddings, semantic similarity modeling (Sentence Transformers, spaCy), fuzzy string matching (Levenshtein distance), and Large Language Model (LLM) integration or fine-tuning for conversational AI, grammar correction, and educational dialogue generation. Proficiency in Computer Vision, including object detection and segmentation (e.g., YOLOv8, Mask R-CNN), OCR for handwriting/textbook recognition, and image-based AI applications in education. Experience in building and deploying ML models into production using Docker, FastAPI, Flask, and cloud-based AI endpoints, plus expertise in container orchestration (Kubernetes, EKS/AKS). Strong SQL skills (e.g., PostgreSQL) and experience handling high-volume unstructured data stores (MongoDB, Elasticsearch). Proven experience implementing MLOps pipelines using MLflow or DVC for model versioning and Prometheus/Grafana for real-time monitoring and drift detection. Experience with symbolic math processing libraries (e.g., SymPy) for computational grading and partial credit logic based on equation structure. Experience designing Active Learning and Human-in-the-Loop (HITL) pipelines for data labeling and quality assurance. Knowledge of modern software engineering, version control (Git/GitHub), and data security best practices (AES-256, TLS, FERPA/HIPAA). Excellent problem-solving, analytical, and innovation skills, with the ability to translate learning goals into effective AI-driven teaching and grading solutions. Good to Have: Proven experience deploying cloud-native ML applications on AWS (EKS, S3, SQS) or Azure (AKS, Blob Storage). Experience with conversational AI systems, dialogue management, or intelligent tutoring chatbots. Knowledge of data pipelines and ETL processes using Airflow, Spark, or Pandas. Exposure to LLM fine-tuning and prompt engineering for personalized educational content generation. Academic or professional experience in EdTech, language learning, or AI-driven education systems. Education & Experience: Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field. 5–7 years of hands-on experience in AI/ML model development, preferably in NLP, Computer Vision, or EdTech domains. Project-Specific Requirements: Experience developing AOI detection pipelines using YOLOv8 or Mask R-CNN for segmentation and handwriting OCR. Demonstrated ability to implement symbolic math parsing and grading solutions using SymPy or equivalent tools. Hands-on experience designing and deploying Active Learning and HITL data quality pipelines. Strong expertise in Kubernetes orchestration for scalable ML microservices and implementing robust MLOps practices with MLflow/DVC and Prometheus/Grafana monitoring. Familiarity with compliance and security requirements for regulated educational data (FERPA, HIPAA). Prior experience in EdTech or adaptive learning platforms with proven impact on student assessment or tutoring systems.
Role & responsibilities 4 +years of QA testing experience Solid experience using Dev Tools for inspecting browser errors and issues Agile methodology experience Experience working with web based applications and native mobile applications Experience developing test cases, procedures, and expected results Working knowledge of test management software such as Jira / Zephyr Expert in Java , Selenium ,TestNG , Maven, Eclipse/IntelliJ Expert in Restful APIs and automation using RestAssured framework Experience automating native android and iOS app is a good to have, not mandatory. Ability to prioritize tasks to best meet departmental and organizational goals Ability to work in a faced paced environment and on multiple projects at once Strong organization skills and attention to detail Excellent verbal and written communication skills Self-starter who is willing to learn new technologies and take initiativ
Position Overview Seeking an accomplished Senior Full Stack Developer with 49 years of experience in delivering end-to-end web applications using Microsoft technologies and modern frontend frameworks. The role demands strong expertise in microservices architecture, software design principles, and cloud deployment. The developer will lead technical design, coding standards, maintainable solutions. Key Responsibilities Architect, design, and develop scalable, secure, and high-performance web applications and microservices. Lead backend development using .NET, .NET Core, MVC, and REST APIs ensuring adherence to best practices and coding standards. Drive frontend development with React JS and TypeScript , along with JavaScript, jQuery, HTML, and CSS for responsive user interfaces. Design and optimize database schemas and queries on SQL Server , with proficient use of Entity Framework and LINQ for data access. Utilize and promote the use of software design patterns to build maintainable architectures. Define and implement microservices architectures, emphasizing loose coupling, scalability, and reusability. Participate actively in Agile teams, performing sprint planning, code reviews, and mentorship of junior developers. Lead technical discussions and decisions on system architecture and application design. Required Skills and Experience 4–9years of strong Full Stack development experience with .NET, .NET Core, MVC, C# . Demonstrated expertise in developing and maintaining microservices and RESTful APIs. In-depth knowledge of architectural design principles and proven application of design patterns . Advanced frontend skills in React JS with TypeScript , JavaScript , and jQuery . Strong experience with SQL Server , complex query optimization, and data modelling. Proficient in Entity Framework and LINQ ORM technologies. Hands-on experience with cloud services and deploying scalable cloud applications. Experience working in an Agile/Scrum environment with tools like Zoho or JIRA. Excellent problem-solving aptitude, technical leadership, and communication skills. Preferred Qualifications Familiarity with container orchestration tools like Docker and Kubernetes . Experience with CI/CD automation and DevOps culture. Knowledge of secure coding practices and performance optimization. Prior experience mentoring or leading development teams. Role & responsibilities